819 resultados para Faculty of Law (Universitat de Girona) -- Environmental aspects


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FinTech (financial technology, ‘‘FinTech’’) is a double-edged sword as it brings both benefits and risks. This study appraised FinTech’s technological nature that brings changes in complexity in modern financial markets to identify the information deficits and its undesirable outcomes. Besides, as FinTech is still developing, the information regarding, for instance, whether and how to apply regulation may be insufficient for both regulators and those regulated. More one-size-fits-all regulation might accordingly be adopted, thereby resulting in the adverse selection. Through the lens of both law and economics and law and technology, this study suggested AFR (adaptive financial regulation, ‘‘AFR’’) of FinTech to solve the underlying pacing issue. AFR is dynamic, enabling regulatory adjustments and learning. Exploring and collecting information through experiments and learning from experiments are the core of AFR. FinTech regulatory sandboxes epitomize AFR. This study chose Taiwan as a case study. This study found several barriers to adaptive and effective FinTech regulation. Unduly emphasizing consumer protection and the innovation entry criterion by improperly imposing limits on the entry into sandboxes, ignoring post-sandbox mechanisms, and relying on detailed, specific and prescriptive rules to formulate sandboxes are examples. To solve these barriers, this study proposed several solutions by looking into the experiences in other jurisdictions and analyzing. First, striking a balance between encouraging innovation and ensuring financial stability and consumer protection is indispensable. Second, entry to sandboxes should be facilitated by improving the selection criteria. Third, adhering to realizing regulatory adjustment and learning to adapt regulation to technology, this study argued that systematic post-sandbox mechanisms should be established. Fourth, this study recommended “more principles-based sandboxes”. Principles rather than rules should be the base on which sandboxes or FinTech regulation are established. Having principles could provide more flexibility, being easier to adjust and adapt, and better at avoiding.

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Artificial Intelligence (AI) is gaining ever more ground in every sphere of human life, to the point that it is now even used to pass sentences in courts. The use of AI in the field of Law is however deemed quite controversial, as it could provide more objectivity yet entail an abuse of power as well, given that bias in algorithms behind AI may cause lack of accuracy. As a product of AI, machine translation is being increasingly used in the field of Law too in order to translate laws, judgements, contracts, etc. between different languages and different legal systems. In the legal setting of Company Law, accuracy of the content and suitability of terminology play a crucial role within a translation task, as any addition or omission of content or mistranslation of terms could entail legal consequences for companies. The purpose of the present study is to first assess which neural machine translation system between DeepL and ModernMT produces a more suitable translation from Italian into German of the atto costitutivo of an Italian s.r.l. in terms of accuracy of the content and correctness of terminology, and then to assess which translation proves to be closer to a human reference translation. In order to achieve the above-mentioned aims, two human and automatic evaluations are carried out based on the MQM taxonomy and the BLEU metric. Results of both evaluations show an overall better performance delivered by ModernMT in terms of content accuracy, suitability of terminology, and closeness to a human translation. As emerged from the MQM-based evaluation, its accuracy and terminology errors account for just 8.43% (as opposed to DeepL’s 9.22%), while it obtains an overall BLEU score of 29.14 (against DeepL’s 27.02). The overall performances however show that machines still face barriers in overcoming semantic complexity, tackling polysemy, and choosing domain-specific terminology, which suggests that the discrepancy with human translation may still be remarkable.

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This is the first complete textbook designed for physiotherapists and occupational therapists on the topic of pain. It was developed for use in conjunction with the International Association for the Study of Pain's pain curriculum for OTs and PTs. The book addresses the nature of pain, the neuroanatomical and neurophysiological substrates of pain, the psychological... More aspects of pain, the lifespan approach to pain, pain measurement, pain and placebo, modalities for treating pain, and special topics in pain. It provides an overview of the physiological, psychosocial, and environmental aspects of pain experience across the lifespan. Aimed primarily at OTs and PTs the assessment and interventions issues pertaining to the perspectives of each profession are discussed in detail. The book is also relevant to the other health professions involved in pain management or intending to work in this area.

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Paulo Mota Pinto é licenciado, mestre e doutor em ciências jurídico-civilísticas pela Faculdade de Direito da Universidade de Coimbra. Assistimos às suas provas de Doutoramento em 16/1/2008: “Interesse Contratual Negativo e Interesse Contratual Positivo”. Abstract: Paulo Mota Pinto is licensed, Master and Doctor of Legal and Civil Sciences, Faculty of Law, University of Coimbra. Watched their PhD evidence 16/01/2008: "Interest Contract Contract Positive Negative Interest".

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Trabalho Final de Mestrado elaborado no Laboratório Nacional de Engenharia Civil (LNEC) para a obtenção do grau de Mestre em Engenharia Civil pelo Instituto Superior de Engenharia de Lisboa no âmbito do protocolo de cooperação entre o ISEL e o LNEC

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Kirjallisuusarvostelu

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The topic is white collar crime in its organizational form. The research question is why otherwise law-abiding people engage in wrongful behavior within legitimate organizations and what kinds of dynamics are involved in wrongful organizational processes. This is a theoretical inquiry the method of which is to bring together relevant literature on organizational behavior regardless of the branch of science. In addition to criminological and sociolegal writings, I mostly refer to works of social psychology and organization theory. At first, I discuss the terminological multiplicity related to organizational white collar crime. In conclusion from a critical analysis of the dominant terms and definitions, I argue for the concept of organizational wrongdoing. The approach of organizational wrongdoing captures unethical, illegal and criminal organizational behavior. Thus, it is not retricted by legislative categories but ethical reasoning. The approach aims at grasping a behavioral entity, and state law crimes do not constitute an ontology of behavior. In order to understand organizational wrongdoing, the dominant criminological theories applied to white collar crime are discussed. To a surprisingly large extent, they lack a sophisticated organizational perspective and do not offer viable frameworks for building a plausible theory of organizational white collar crime. In order to fill the gap, I incorporate the social psychological dynamics of organizational behavior and present several findings on collective behavior that criminological theorization must come to terms with. ------ This publication has been first presented and accepted as a master's thesis at the Faculty of Law, University of Turku. It has been published on the series: Criminal Law and Judicial Procedure, Series B: 15, in print format. The publication was digitized in 2015 and published online.

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Stéphane Rousseau, Directeur du Centre et de la Chaire en droit des affaires et du commerce international (CDACI), Faculté de droit, Université de Montréal, a présenté dans le cadre du panel Nouvelles dimensions de la responsabilité des entreprises,  une conférence intitulée « Responsablité sociale et droit des sociétés : promesses et limites ».

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